Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleMay 2024
Redesigning Privacy with User Feedback: The Case of Zoom Attendee Attention Tracking
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 237, Pages 1–14https://doi.org/10.1145/3613904.3642594Software engineers’ unawareness of user feedback in earlier stages of design contributes to privacy issues in many products. Although extensive research exists on gathering and analyzing user feedback, there is limited understanding about how developers ...
- research-articleMay 2024
On the Feasibility of Predicting Users' Privacy Concerns using Contextual Labels and Personal Preferences
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 792, Pages 1–20https://doi.org/10.1145/3613904.3642500Predicting users’ privacy concerns is challenging due to privacy’s subjective and complex nature. Previous research demonstrated that generic attitudes, such as those captured by Westin’s Privacy Segmentation Index, are inadequate predictors of context-...
- research-articleMay 2024
Viblio: Introducing Credibility Signals and Citations to Video-Sharing Platforms
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 807, Pages 1–20https://doi.org/10.1145/3613904.3642490As more users turn to video-sharing platforms like YouTube as an information source, they may consume misinformation despite their best efforts. In this work, we investigate ways that users can better assess the credibility of videos by first exploring ...
- research-articleOctober 2023Best Paper
Low-Effort, Unqualified, and Malicious User Behaviors in Online Human-Robot Interaction Studies
SIGDOC '23: Proceedings of the 41st ACM International Conference on Design of CommunicationPages 63–69https://doi.org/10.1145/3615335.3623054This work was motivated by a previous study that saw unintended behaviors from some participants in online survey interactions. We conducted a post-hoc analysis of the study's participant data, including an analytical retrospective of effectiveness of ...
- research-articleApril 2023
Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsArticle No.: 764, Pages 1–20https://doi.org/10.1145/3544548.3581273User experience (UX) has undergone a revolution in collaborative practices, due to tools that enable quick feedback and continuous collaboration with a varied team across a design’s lifecycle. However, it is unclear how this shift in collaboration has ...
- short-paperMarch 2023
Tell Me About It: Adolescent Self-Disclosure with an Online Robot for Mental Health
HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot InteractionPages 183–187https://doi.org/10.1145/3568294.3580068Self-disclosure to a social robot is a mental health intervention that can decrease stress for adolescents. Online digital robots provide the potential to scale this intervention especially in COVID-19 social distancing situations. However, self-...
- ArticleDecember 2022
Share with Me: A Study on a Social Robot Collecting Mental Health Data
AbstractSocial robots have been used to assist with mental well-being in various ways, such as to help children with autism improve on their social skills and executive functioning (e.g., joint attention and bodily awareness). They are also used to help ...